Lunneborg, Clifford E:Modeling Experimental and Observational Data
- exemplaire signée 2017, ISBN: 9780595137879
Livres de poche, Edition reliée
New York: Academic Press. Very Good with no dust jacket. 1977. Hardcover. 0124918506 . Light wear, "Physiological" in ink on front flyleaf. Solid hardcover.; "Systems Neu… Plus…
New York: Academic Press. Very Good with no dust jacket. 1977. Hardcover. 0124918506 . Light wear, "Physiological" in ink on front flyleaf. Solid hardcover.; "Systems Neuroscience is an approach within neuroscience that seeks to bridge the gap between theory and experiment by the judicious development and application of system theory and computer simulation." ; x, 271 pages ., Academic Press, 1977, 3, Atlantic Publishers & Distributors (P) Ltd., 2012. Hardcover. New. The book Statistical Definitions, Formulas and Tables provides a collection of statistical definitions, formulas and tables which will be useful to students of statistics, mathematics, economics, physics, engineering and other sciences, and researchers in these fields. Care has been taken to include only those formulas and tables which are most likely to be needed in practice, rather than highly specialised results which are rarely used. Topics covered in the book range from elementary to advanced statistics. Elementary topics include those from Collection, Classification and Tabulation of Data; Measure of Central Tendency; Measures of Dispersion; Moments, Skewness and Kurtosis; and Curve Fitting and Method of Least Squares. Advanced topics include those from Correlation Analysis; Regression Analysis; Multiple and Partial Correlation-Regression; Probability; Sampling; Theory of Estimation; Theory of Test of Significance; and Analysis of Variance. This wide coverage of topics provides within a single volume, most of the important statistical results needed by students and researchers, regardless of their particular field of interest or level of attainment. The book has been divided into two parts. First part contains statistical definitions and formulas and the second part covers statistical tables. An important feature of this book is that the figures in the tables have been approximated, which is basic to the application of statistical models in the real world. The book will be very useful for the students of Science, Economics, Commerce, Engineering, Psychology, Business Management and Finance. To those preparing for various competitive examinations it will be of great help for quick revision of definitions, formulas and statistics. Contents : Preface—DEFINITIONS & FORMULAS—Collection, Classification and Tabulation of Data; Measures of Central Tendency; Measures of Dispersion; Moments, Skewness and Kurtosis; Curve Fitting and Method of Least Squares; Correlation Analysis; Regression Analysis; Multiple and Partial Correlation-Regression; Interpolation and Extrapolation; Probability; Sampling Theory; Theory of Estimation; Theory of Test of Significance; Chi-Square Test; Tests of Significance Based on t, F and z Distributions; Time Series Analysis; Analysis of Variance (ANOVA); Index Numbers; Association of Attributes—TABLES—Cumulative Binomial Probabilities; Binomial Distribution Function; Binomial Coefficients; Cumulative Poisson Probabilities; Areas in Upper Tail of the Normal Distribution; Standard Normal Distribution Function; Ordinates (Y) of the Standard Normal Curve at z; Percentage Points of the Normal Distribution; Ordinates of the Normal Distribution; Exponential Function e-x; Percentage Points of the t Distribution; Percentage Points of the c2 Distribution; Percentage Points of the F Distribution; Percentage Points of the Correlation Coefficient; Tukey’s Wholly Significant Difference at 5% Level; Percentage Points of Spearman’s Rank Correlation Coefficient; Percentage Points of Kendall’s Rank Correlation Coefficient; Percentage Points of Nair’s ‘Studentised’ Extreme Deviate from the Mean; Upper Percentage Points of Dixon’s Rank Difference Ratio; Percentage Points of D in the One-sample Kolmogorov-Smirnov Distribution; Percentage Points of D in the Two-sample Kolmogorov-Smirnov Distribution; Lower Percentage Points of the Wilcoxon Signed-rank Distribution; Lower Percentage Points of the Mann-Whitney U-Distribution; Percentage Points of Friedman’s Distribution; Upper Tails of the Kruskal-Wallis Distribution; Control Chart Factors for Sample Mean; Control Chart Factors for Sample Range Using; Control Chart Factors for Sample Range Using s; Control Chart Constants; Values of e–m (For Computing Poisson Probabilities) (o < m < 1); Tolerance Factors for the Normal Distribution; Sample Size for Tw Printed Pages: 246., Atlantic Publishers & Distributors (P) Ltd., 2012, 6, Atlantic Publishers & Distributors (P) Ltd., 2012. Hardcover. New. The book Statistical Definitions, Formulas and Tables provides a collection of statistical definitions, formulas and tables which will be useful to students of statistics, mathematics, economics, physics, engineering and other sciences, and researchers in these fields. Care has been taken to include only those formulas and tables which are most likely to be needed in practice, rather than highly specialised results which are rarely used. Topics covered in the book range from elementary to advanced statistics. Elementary topics include those from Collection, Classification and Tabulation of Data; Measure of Central Tendency; Measures of Dispersion; Moments, Skewness and Kurtosis; and Curve Fitting and Method of Least Squares. Advanced topics include those from Correlation Analysis; Regression Analysis; Multiple and Partial Correlation-Regression; Probability; Sampling; Theory of Estimation; Theory of Test of Significance; and Analysis of Variance. This wide coverage of topics provides within a single volume, most of the important statistical results needed by students and researchers, regardless of their particular field of interest or level of attainment. The book has been divided into two parts. First part contains statistical definitions and formulas and the second part covers statistical tables. An important feature of this book is that the figures in the tables have been approximated, which is basic to the application of statistical models in the real world. The book will be very useful for the students of Science, Economics, Commerce, Engineering, Psychology, Business Management and Finance. To those preparing for various competitive examinations it will be of great help for quick revision of definitions, formulas and statistics. Contents : PrefaceDEFINITIONS & FORMULASCollection, Classification and Tabulation of Data; Measures of Central Tendency; Measures of Dispersion; Moments, Skewness and Kurtosis; Curve Fitting and Method of Least Squares; Correlation Analysis; Regression Analysis; Multiple and Partial Correlation-Regression; Interpolation and Extrapolation; Probability; Sampling Theory; Theory of Estimation; Theory of Test of Significance; Chi-Square Test; Tests of Significance Based on t, F and z Distributions; Time Series Analysis; Analysis of Variance (ANOVA); Index Numbers; Association of AttributesTABLESCumulative Binomial Probabilities; Binomial Distribution Function; Binomial Coefficients; Cumulative Poisson Probabilities; Areas in Upper Tail of the Normal Distribution; Standard Normal Distribution Function; Ordinates (Y) of the Standard Normal Curve at z; Percentage Points of the Normal Distribution; Ordinates of the Normal Distribution; Exponential Function e-x; Percentage Points of the t Distribution; Percentage Points of the c2 Distribution; Percentage Points of the F Distribution; Percentage Points of the Correlation Coefficient; Tukeys Wholly Significant Difference at 5% Level; Percentage Points of Spearmans Rank Correlation Coefficient; Percentage Points of Kendalls Rank Correlation Coefficient; Percentage Points of Nairs Studentised Extreme Deviate from the Mean; Upper Percentage Points of Dixons Rank Difference Ratio; Percentage Points of D in the One-sample Kolmogorov-Smirnov Distribution; Percentage Points of D in the Two-sample Kolmogorov-Smirnov Distribution; Lower Percentage Points of the Wilcoxon Signed-rank Distribution; Lower Percentage Points of the Mann-Whitney U-Distribution; Percentage Points of Friedmans Distribution; Upper Tails of the Kruskal-Wallis Distribution; Control Chart Factors for Sample Mean; Control Chart Factors for Sample Range Using; Control Chart Factors for Sample Range Using s; Control Chart Constants; Values of em (For Computing Poisson Probabilities) (o <
